biological-plausibility

This paper evaluates the biological plausibility and representational alignment of feedback alignment algorithms in convolutional networks, comparing them to standard backpropagation on CIFAR-10. The authors find that modified feedback alignment methods converge on internal representations similar to those produced by backpropagation, suggesting functional success through mimicking representational geometry.